Sandra Smith
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Fetal and Pediatric Neurological Disorders
- Neonatal and fetal brain pathology
- Prenatal Screening and Diagnostics
Papers in
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- Fetal and Pediatric Neurological Disorders 3
- Prenatal Screening and Diagnostics 2
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- AI in cancer detection 2
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Daniel Rueckert (3 shared papers)Konstantinos Kamnitsas (2 shared papers)Christian F. Baumgartner (3 shared papers)Bernhard Kainz (4 shared papers)Jacqueline Matthew (4 shared papers)Lisa M. Koch (2 shared papers)Saeed Setayeshi (1 shared paper)Hamid Soltanian‐Zadeh (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Ultrasound in Obstetrics and Gynecology (1 paper)IEEE Transactions on Nuclear Science (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United KingdomIranUnited States
In The Last Decade
Sandra Smith
5 papers receiving 264 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 39
- Pediatrics, Perinatology and Child Health 143
- Artificial Intelligence 107
- Radiology, Nuclear Medicine and Imaging 77
- Critical Care and Intensive Care Medicine 14
Countries citing papers authored by Sandra Smith
This map shows the geographic impact of Sandra Smith's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sandra Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Smith more than expected).
Fields of papers citing papers by Sandra Smith
This network shows the impact of papers produced by Sandra Smith. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sandra Smith. The network helps show where Sandra Smith may publish in the future.
Co-authors
The 24 scholars most cited alongside Sandra Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 237 | |
| 2 | 2004 | 25 | |
| 3 | Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound | 2018 | 4 |
| 4 | Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound. | 2016 | 3 |
| 5 | 2019 | 2 |
About Sandra Smith
Sandra Smith is a scholar working on Pediatrics, Perinatology and Child Health, Artificial Intelligence, Genetics, Computer Vision and Pattern Recognition and Health Informatics, having authored 5 papers that have together received 271 indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (3 papers), Cleft Lip and Palate Research (2 papers), Prenatal Screening and Diagnostics (2 papers), AI in cancer detection (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Health Informatics (39 citations), Pediatrics, Perinatology and Child Health (143 citations), Artificial Intelligence (107 citations), Radiology, Nuclear Medicine and Imaging (77 citations) and Critical Care and Intensive Care Medicine (14 citations). Sandra Smith has collaborated with scholars based in United Kingdom, Iran and United States. Frequent co-authors include Daniel Rueckert, Konstantinos Kamnitsas, Christian F. Baumgartner, Bernhard Kainz, Jacqueline Matthew, Lisa M. Koch, Saeed Setayeshi, Hamid Soltanian‐Zadeh, Hassan Bagher‐Ebadian and Milou P.M. van Poppel. Their work appears in journals such as IEEE Transactions on Medical Imaging, Ultrasound in Obstetrics and Gynecology, IEEE Transactions on Nuclear Science and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.